Prevalence and control of hypertension in COVID-19 positive cases.

Background: The coronavirus disease (COVID-19) is an infectious disease caused by the newly discovered SARS-CoV-2 virus. Patients diagnosed with COVID-19 experience several complications including hypertension or elevated blood pressure which is a serious medical condition that significantly increases the risks of heart, brain, and kidney diseases.

Objectives: To assess the prevalence and control of hypertension in COVID-19 patients.

Exploring vision transformers and XGBoost as deep learning ensembles for transforming carcinoma recognition.

Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, significantly enhances the prognosis of patients. This research presents a new method for improving CRC detection using a deep learning ensemble with the Computer Aided Diagnosis (CADx). The method involves combining pre-trained convolutional neural network (CNN) models, such as ADaRDEV2I-22, DaRD-22, and ADaDR-22, using Vision Transformers (ViT) and XGBoost.

Effective Alzheimer's disease detection using enhanced Xception blending with snapshot ensemble.

Alzheimer's disease (AD), a prevalent neurodegenerative disorder, leads to progressive dementia, which impairs decision-making, problem-solving, and communication. While there is no cure, early detection can facilitate treatments to slow its progression. Deep learning (DL) significantly enhances AD detection by analyzing brain imaging data to identify early biomarkers, improving diagnostic accuracy and predicting disease progression more precisely than traditional methods.

Forecasting of coronavirus active cases by utilizing logistic growth model and fuzzy time series techniques.

Coronavirus has long been considered a global epidemic. It caused the deaths of nearly 7.01 million individuals and caused an economic downturn.

A public health view and comparison between online and on-campus learning to evaluate sleep and mental health among undergraduate students.

Background: The COVID-19 pandemic changed people's lives. The majority had to adapt to working online including students. The shift to online learning caused serious sleep and mental health issues among students.

The Relationship Between Blood Culture, C-reactive Protein, and Neonatal Sepsis: A Cross-Sectional Study.

Background Sepsis is one of the most common causes of morbidity and mortality in newborns. Diagnosis of neonatal sepsis may be difficult because the clinical presentations are often nonspecific. Neonatal sepsis may have an early onset (zero to three days) or a late onset (four days or later).

Attitudes and Practices of the Public Toward Precautionary Measures Post-COVID-19 Pandemic in Saudi Arabia.

Objective: This study aimed to assess the practices and attitudes of the general population towards coronavirus disease-2019 (COVID)-19 after the removal of precautionary and preventive measures in Saudi Arabia.

Methods: A cross-sectional study was conducted among the general population in all regions of the Kingdom of Saudi Arabia, from September 2022 to October, 2022 via a virtual survey to evaluate the practices, and attitudes of the general population towards COVID-19. A stratified random sampling technique was applied to collect the sample with inclusion criteria for all individuals who are Arabic language speakers using social media platforms.

City of Hope-Quality of Life Questionnaire-Arabic Version: assessment of reliability and validity.

Background: Arabic is spoken as a native language by more than 400 million people worldwide. However, there is no specific Arabic language instrument to measure stoma-related quality of life.

Purpose: This study was designed to assess the validity and reliability of the City of Hope-quality of life-Ostomy Questionnaire (COH-QOL-OQ) Arabic version.

A field investigation of the relationship between rotating shifts, sleep, mental health and physical activity of Australian paramedics.

Paramedics working on a rotating shift are at an increased risk of developing chronic health issues due to continuous circadian rhythm disruption. The acute effects of shift rotation and objectively measured sleep have rarely been reported in paramedics. This study investigated the relationships between a rotating shift schedule and sleep (using actigraphy), subjective reports of sleepiness, mood, stress and fatigue.

Sleep and Mental Health among Paramedics from Australia and Saudi Arabia: A Comparison Study.

Paramedics face many challenges while on duty, one of which is working different types of shifts. Shift work has been linked to a number of health issues such as insomnia, depression, and anxiety. Besides shift work, Saudi paramedics, a group that has not been investigated for sleep or mental health issues previously, may be facing more demands than Australian paramedics due to lower numbers of paramedics in comparison to the general population.

The relationship between shift-work, sleep, and mental health among paramedics in Australia.

Objectives: This study aimed to investigate the prevalence of sleep and mental health issues, the role of chronotype, and the relationship between these variables in Australian paramedics.

Design: A cross-sectional study.

Settings: Cross-sectional survey.